The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-05-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "162521726 (up from 161894208 yesterday: 0.39 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "3369259 (up from 3357610 yesterday: 0.35 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 16054464

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.07



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 32923982 28813 0.09 878869 585708 476 0.08 1.78
India 24684077 311170 1.28 7723905 270284 4077 1.53 1.09
Brazil 15586534 67009 0.43 1278319 434715 2087 0.48 2.79
France 5925071 15685 0.27 390415 107696 112 0.10 1.82
Turkey 5106862 11472 0.23 515446 44537 236 0.53 0.87
Russia 4875308 8667 0.18 175320 113541 359 0.32 2.33
United Kingdom 4464663 2060 0.05 45953 127937 7 0.01 2.87
Italy 4153374 6652 0.16 203857 124063 136 0.11 2.99
Spain 3604799 0 0.00 136182 79339 0 0.00 2.20
Germany 3595872 7370 0.21 304579 86100 70 0.08 2.39
Argentina 3290935 21469 0.66 445063 70253 400 0.57 2.13
Colombia 3103333 18873 0.61 346059 80780 530 0.66 2.60
Poland 2851911 2897 0.10 100279 71609 298 0.42 2.51
Iran 2739875 7723 0.28 362836 76633 200 0.26 2.80
Mexico 2380690 2695 0.11 53952 220384 225 0.10 9.26
Ukraine 2206627 6919 0.31 135485 49881 327 0.66 2.26
Peru 1879049 0 0.00 124899 65608 0 0.00 3.49
Indonesia 1736670 2385 0.14 99878 47967 144 0.30 2.76
Czechia 1652238 1060 0.06 34170 29886 29 0.10 1.81
Netherlands 1620702 4468 0.28 142558 17703 13 0.07 1.09
South Africa 1611143 2750 0.17 36773 55183 59 0.11 3.43
Canada 1331480 4491 0.34 151415 24884 27 0.11 1.87
Chile 1280252 6736 0.53 117441 27734 87 0.31 2.17
Philippines 1138187 6720 0.59 148807 19051 93 0.49 1.67
Iraq 1136917 2058 0.18 111629 15930 20 0.13 1.40
Romania 1071334 729 0.07 26612 29485 72 0.24 2.75
Sweden 1037126 0 0.00 98783 14275 0 0.00 1.38
Belgium 1030071 1967 0.19 58030 24686 22 0.09 2.40
Pakistan 877130 2379 0.27 81503 19543 76 0.39 2.23
Portugal 841848 469 0.06 7884 17006 7 0.04 2.02
Israel 839118 39 0.00 1144 6381 1 0.02 0.76
Hungary 797429 1039 0.13 30239 29114 73 0.25 3.65
Bangladesh 779796 261 0.03 37396 12124 22 0.18 1.55
Jordan 722754 0 0.00 22331 9203 0 0.00 1.27
Serbia 705890 705 0.10 27918 6664 18 0.27 0.94
Japan 679870 6331 0.94 115872 11424 94 0.83 1.68
Switzerland 679510 0 0.00 33001 10730 0 0.00 1.58
Austria 636424 644 0.10 29470 10470 15 0.14 1.65
United Arab Emirates 544931 1321 0.24 36006 1629 3 0.18 0.30
Lebanon 535446 478 0.09 15831 7602 33 0.44 1.42
Morocco 514817 112 0.02 5780 9098 6 0.07 1.77
Malaysia 466330 4140 0.90 76078 1866 44 2.41 0.40
Nepal 447704 8046 1.83 150617 4856 187 4.01 1.08
Saudi Arabia 432269 837 0.19 21006 7147 13 0.18 1.65
Bulgaria 414041 203 0.05 16941 17250 7 0.04 4.17
Kazakhstan 412236 2577 0.63 53402 3394 2 0.06 0.82
Ecuador 409520 2518 0.62 36766 19692 178 0.91 4.81
Slovakia 387420 258 0.07 7944 12203 35 0.29 3.15
Greece 375831 1950 0.52 44101 11365 43 0.38 3.02
Belarus 374714 1363 0.37 23040 2691 10 0.37 0.72
Panama 370533 490 0.13 7837 6296 4 0.06 1.70
Croatia 349910 826 0.24 28538 7687 23 0.30 2.20
Bolivia 329733 2509 0.77 32548 13451 42 0.31 4.08
Georgia 329407 1576 0.48 26622 4426 29 0.66 1.34
Azerbaijan 329371 377 0.11 17906 4768 14 0.29 1.45
Tunisia 325832 552 0.17 27260 11779 52 0.44 3.62
Paraguay 311746 2108 0.68 46450 7534 52 0.70 2.42
West Bank and Gaza 303658 388 0.13 13399 3423 22 0.65 1.13
Kuwait 290801 795 0.27 25397 1687 6 0.36 0.58
Costa Rica 282741 0 0.00 43981 3547 0 0.00 1.25
Dominican Republic 276272 894 0.32 12328 3569 4 0.11 1.29
Denmark 266240 1075 0.41 18536 2503 3 0.12 0.94
Ethiopia 265832 419 0.16 14877 3976 12 0.30 1.50
Lithuania 264724 1249 0.47 24202 4088 4 0.10 1.54
Ireland 254870 0 0.00 8666 4941 0 0.00 1.94
Moldova 253736 169 0.07 4838 6016 10 0.17 2.37
Slovenia 249014 494 0.20 12401 4320 6 0.14 1.73
Egypt 244520 1203 0.49 22950 14269 63 0.44 5.84
Guatemala 241117 947 0.39 19810 7872 27 0.34 3.26
Uruguay 238079 2873 1.22 55753 3419 50 1.48 1.44
Honduras 225964 2042 0.91 20268 5954 56 0.95 2.63
Armenia 220729 282 0.13 7851 4314 13 0.30 1.95
Venezuela 212998 0 0.00 22475 2366 0 0.00 1.11
Qatar 212927 260 0.12 11431 526 2 0.38 0.25
Oman 202713 0 0.00 17435 2148 0 0.00 1.06
Bosnia and Herzegovina 202143 0 0.00 7410 8981 0 0.00 4.44
Bahrain 199093 1619 0.82 28758 737 5 0.68 0.37
Libya 181179 0 0.00 6427 3085 0 0.00 1.70
Nigeria 165702 41 0.02 1018 2066 0 0.00 1.25
Kenya 165379 267 0.16 9061 3001 25 0.84 1.81
North Macedonia 154636 112 0.07 4362 5197 13 0.25 3.36
Burma 143059 24 0.02 355 3212 0 0.00 2.25
Sri Lanka 140471 2386 1.73 39885 941 18 1.95 0.67
Albania 131978 39 0.03 1569 2429 2 0.08 1.84
Korea, South 131671 610 0.47 12784 1900 4 0.21 1.44
Latvia 127597 544 0.43 12642 2257 9 0.40 1.77
Estonia 126922 280 0.22 6922 1220 3 0.25 0.96
Algeria 125194 135 0.11 4458 3366 6 0.18 2.69
Cuba 123221 1383 1.14 22903 796 11 1.40 0.65
Norway 119052 312 0.26 8662 774 0 0.00 0.65
Kosovo 106243 0 0.00 3523 2222 0 0.00 2.09
China 102717 21 0.02 350 4846 0 0.00 4.72
Kyrgyzstan 100249 404 0.40 6646 1695 8 0.47 1.69

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 3768087 1035 0.03 36942 62656 23 0.04 1.66 95365.10 1585.74 1 in 10
Texas 2928389 1194 0.04 55633 50940 37 0.07 1.74 100993.28 1756.80 1 in 10
Florida 2289522 3319 0.15 85609 36056 56 0.16 1.57 106599.78 1678.76 1 in 9
New York 2083623 1800 0.09 56594 52914 11 0.02 2.54 107107.54 2720.02 1 in 9
Illinois 1364919 1510 0.11 46032 24770 45 0.18 1.81 107712.93 1954.73 1 in 9
Pennsylvania 1185952 1693 0.14 53704 26712 19 0.07 2.25 92638.10 2086.55 1 in 11
Georgia 1115072 743 0.07 22220 20505 23 0.11 1.84 105022.85 1931.26 1 in 10
Ohio 1090276 919 0.08 26843 19528 0 0.00 1.79 93272.88 1670.62 1 in 11
New Jersey 1010490 646 0.06 14293 25952 20 0.08 2.57 113765.86 2921.80 1 in 9
North Carolina 989338 0 0.00 32406 12862 0 0.00 1.30 94329.72 1226.34 1 in 11
Michigan 976339 1491 0.15 64539 19790 112 0.57 2.03 97762.39 1981.60 1 in 10
Arizona 872496 474 0.05 14420 17459 12 0.07 2.00 114577.58 2292.74 1 in 9
Tennessee 857055 0 0.00 16006 12312 0 0.00 1.44 125425.61 1801.80 1 in 8
Indiana 734736 1145 0.16 20777 13471 5 0.04 1.83 109137.27 2000.97 1 in 9
Massachusetts 701490 1153 0.16 19920 17747 5 0.03 2.53 100941.03 2553.71 1 in 10
Virginia 669904 685 0.10 16578 11008 17 0.15 1.64 78484.27 1289.67 1 in 13
Wisconsin 669427 622 0.09 13366 7712 5 0.06 1.15 114973.74 1324.53 1 in 9
Missouri 599861 459 0.08 11728 9270 4 0.04 1.55 97738.17 1510.40 1 in 10
Minnesota 593622 872 0.15 26935 7379 3 0.04 1.24 105259.00 1308.42 1 in 10
South Carolina 588110 1525 0.26 13884 9638 11 0.11 1.64 114224.64 1871.92 1 in 9
Alabama 539829 2016 0.37 13931 11038 14 0.13 2.04 110097.62 2251.19 1 in 9
Colorado 531070 972 0.18 30395 6442 10 0.16 1.21 92219.89 1118.65 1 in 11
Louisiana 464833 0 0.00 9292 10478 0 0.00 2.25 99990.02 2253.92 1 in 10
Maryland 455635 378 0.08 13284 8925 17 0.19 1.96 75365.38 1476.26 1 in 13
Kentucky 452250 484 0.11 11619 6648 5 0.08 1.47 101227.19 1488.02 1 in 10
Oklahoma 450847 0 0.00 4297 6878 0 0.00 1.53 113937.40 1738.20 1 in 9
Washington 422665 908 0.22 27353 5622 0 0.00 1.33 55505.05 738.29 1 in 18
Utah 402325 320 0.08 7175 2258 2 0.09 0.56 125492.91 704.31 1 in 8
Iowa 369232 175 0.05 6503 6000 2 0.03 1.62 117028.15 1901.70 1 in 9
Connecticut 344977 0 0.00 10211 8173 0 0.00 2.37 96759.95 2292.38 1 in 10
Arkansas 338687 202 0.06 4045 5793 3 0.05 1.71 112228.84 1919.59 1 in 9
Nevada 320539 0 0.00 7699 5530 0 0.00 1.73 104065.83 1795.36 1 in 10
Mississippi 314710 0 0.00 4361 7254 0 0.00 2.30 105744.03 2437.38 1 in 9
Kansas 313192 0 0.00 4309 5039 0 0.00 1.61 107503.69 1729.65 1 in 9
Nebraska 222335 0 0.00 3755 2286 0 0.00 1.03 114936.97 1181.76 1 in 9
New Mexico 200650 0 0.00 4429 4113 0 0.00 2.05 95692.11 1961.53 1 in 10
Oregon 195179 637 0.33 15249 2585 3 0.12 1.32 46275.76 612.89 1 in 22
Idaho 189908 0 0.00 3725 2069 0 0.00 1.09 105971.60 1154.53 1 in 9
West Virginia 158230 307 0.19 7162 2757 1 0.04 1.74 88537.76 1542.68 1 in 11
Rhode Island 150385 0 0.00 4061 2700 0 0.00 1.80 141958.22 2548.71 1 in 7
Puerto Rico 136655 229 0.17 8196 2435 4 0.16 1.78 42789.01 762.44 1 in 23
South Dakota 123644 0 0.00 1658 1991 0 0.00 1.61 139764.59 2250.58 1 in 7
Montana 110644 84 0.08 2596 1598 0 0.00 1.44 103523.84 1495.17 1 in 10
North Dakota 109057 84 0.08 2401 1534 0 0.00 1.41 143107.78 2012.96 1 in 7
Delaware 106873 158 0.15 3946 1651 0 0.00 1.54 109752.47 1695.48 1 in 9
New Hampshire 97563 133 0.14 4021 1331 2 0.15 1.36 71752.75 978.88 1 in 14
Alaska 69464 0 0.00 2405 353 0 0.00 0.51 94955.20 482.54 1 in 11
Maine 65524 176 0.27 5912 801 2 0.25 1.22 48745.29 595.89 1 in 21
Wyoming 59079 0 0.00 1383 712 0 0.00 1.21 102078.76 1230.22 1 in 10
District of Columbia 48530 106 0.22 1311 1118 2 0.18 2.30 68763.82 1584.13 1 in 15
Hawaii 35235 104 0.30 2006 491 1 0.20 1.39 24885.72 346.78 1 in 40
Vermont 23847 55 0.23 1368 252 0 0.00 1.06 38217.02 403.85 1 in 26

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 62690360 3768087 6.01 4045701 36942 0.91 1586606.8
2 Texas 23760072 2928389 12.32 1149742 55633 4.84 819429.2
3 Florida 23446814 2289522 9.76 1199263 85609 7.14 1091679.9
4 New York 53614038 2083623 3.89 3703981 56594 1.53 2756001.2
5 Illinois 23677720 1364919 5.76 1564230 46032 2.94 1868533.3
6 Pennsylvania 13575574 1185952 8.74 838455 53704 6.41 1060426.9
7 Georgia 8558226 1115072 13.03 367477 22220 6.05 806054.9
8 Ohio 12808650 1090276 8.51 630047 26843 4.26 1095777.3
9 New Jersey 14137166 1010490 7.15 918586 14293 1.56 1591630.7
10 North Carolina 11708760 989338 8.45 548028 32406 5.91 1116386.9
11 Michigan 13343595 976339 7.32 772744 64539 8.35 1336115.6
12 Arizona 9441809 872496 9.24 407725 14420 3.54 1239913.6
13 Tennessee 7816182 857055 10.97 251960 16006 6.35 1143858.2
14 Indiana 10134102 734736 7.25 545969 20777 3.81 1505313.8
15 Massachusetts 22230304 701490 3.16 1436299 19920 1.39 3198833.6
16 Virginia 7238393 669904 9.25 321202 16578 5.16 848032.0
17 Wisconsin 8526837 669427 7.85 395396 13366 3.38 1464479.8
18 Missouri 5416669 599861 11.07 198489 11728 5.91 882563.3
19 Minnesota 8859170 593622 6.70 515884 26935 5.22 1570877.3
20 South Carolina 6299851 588110 9.34 282825 13884 4.91 1223577.6
21 Alabama 2556342 539829 21.12 75960 13931 18.34 521363.6
22 Colorado 8199741 531070 6.48 565379 30395 5.38 1423878.6
23 Louisiana 6669369 464833 6.97 278139 9292 3.34 1434645.0
24 Maryland 10050073 455635 4.53 578959 13284 2.29 1662356.1
25 Kentucky 5229673 452250 8.65 645597 11619 1.80 1170558.6
26 Oklahoma 4027953 450847 11.19 61588 4297 6.98 1017938.5
27 Washington 6781271 422665 6.23 394720 27353 6.93 890527.4
28 Utah 3366094 402325 11.95 119830 7175 5.99 1049949.5
29 Iowa 1449267 369232 25.48 32802 6503 19.83 459345.4
30 Connecticut 8274960 344977 4.17 385674 10211 2.65 2320980.0
31 Arkansas 3012247 338687 11.24 64187 4045 6.30 998151.7
32 Nevada 3295990 320539 9.73 159026 7699 4.84 1070072.4
33 Mississippi 1911520 314710 16.46 38240 4361 11.40 642279.7
34 Kansas 1395933 313192 22.44 33629 4309 12.81 479156.4
35 Nebraska 2922268 222335 7.61 128884 3755 2.91 1510678.2
36 New Mexico 3388531 200650 5.92 180055 4429 2.46 1616026.4
37 Oregon 4901179 195179 3.98 322857 15249 4.72 1162040.0
38 Idaho 721272 189908 26.33 20090 3725 18.54 402480.9
39 West Virginia 2858591 158230 5.54 172169 7162 4.16 1599527.6
40 Rhode Island 4180996 150385 3.60 267479 4061 1.52 3946715.0
42 South Dakota 794855 123644 15.56 24464 1658 6.78 898487.4
43 Montana 1349634 110644 8.20 63093 2596 4.11 1262782.4
44 North Dakota 1544530 109057 7.06 35024 2401 6.86 2026777.4
45 Delaware 1780781 106873 6.00 93675 3946 4.21 1828760.4
46 New Hampshire 1932955 97563 5.05 119062 4021 3.38 1421592.5
47 Alaska 2193175 69464 3.17 140120 2405 1.72 2998004.2
48 Maine 2184241 65524 3.00 173608 5912 3.41 1624923.0
49 Wyoming 742737 59079 7.95 25463 1383 5.43 1283326.9
50 District of Columbia 1571668 48530 3.09 97253 1311 1.35 2226950.4
51 Hawaii 1525603 35235 2.31 125968 2006 1.59 1077500.6
52 Vermont 1653696 23847 1.44 128748 1368 1.06 2650200.6

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 10110605 824693 1154 0.14 8.16 2159 390 38726 33329 4.04
Veneto 7592323 419901 343 0.08 5.53 585 97 15894 11483 2.73
Campania 4664379 410717 946 0.23 8.81 1196 102 80158 6805 1.66
Emilia-Romagna 5955782 379130 530 0.14 6.37 1057 160 24719 13081 3.45
Piemonte 4253253 355407 472 0.13 8.36 1284 139 11106 11499 3.24
Lazio 6594948 335897 621 0.19 5.09 1591 233 33867 7992 2.38
Puglia 2373878 245945 567 0.23 10.36 1126 134 38736 6254 2.54
Toscana 4453519 236263 491 0.21 5.31 884 180 14531 6518 2.76
Sicilia 4231759 219650 557 0.25 5.19 833 114 17513 5660 2.58
Friuli Venezia Giulia 1942574 106472 68 0.06 5.48 74 16 5781 3768 3.54
Liguria 1533469 101702 97 0.10 6.63 290 52 3117 4278 4.21
Marche 1187950 100809 149 0.15 8.49 269 47 4713 2990 2.97
Abruzzo 1509686 73142 112 0.15 4.84 205 19 6892 2453 3.35
P.A. Bolzano 1470371 72164 58 0.08 4.91 21 7 1030 1168 1.62
Calabria 824238 64408 193 0.30 7.81 380 25 12334 1109 1.72
Sardegna 1242603 56099 67 0.12 4.51 218 38 14459 1433 2.55
Umbria 1260825 55745 54 0.10 4.42 122 16 2406 1377 2.47
P.A. Trento 794932 44831 43 0.10 5.64 47 18 800 1349 3.01
Basilicata 357606 25535 119 0.47 7.14 110 9 5241 562 2.20
Molise 222972 13500 8 0.06 6.05 18 4 335 488 3.61
Valle d’Aosta 122422 11364 10 0.09 9.28 24 5 472 467 4.11

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Ontario 514907 1800 0.35 8430 12 0.14 1.64 34999.53 573.01 1 in 29
Quebec 362580 760 0.21 11032 7 0.06 3.04 42468.24 1292.16 1 in 24
Alberta 217821 1195 0.55 2140 3 0.14 0.98 49357.31 484.91 1 in 20
British Columbia 138304 0 0.00 1634 0 0.00 1.18 27060.51 319.71 1 in 37
Manitoba 44617 428 0.97 1006 4 0.40 2.25 32389.44 730.30 1 in 31
Saskatchewan 44364 205 0.46 516 1 0.19 1.16 37543.60 436.67 1 in 27
Nova Scotia 4610 86 1.90 72 0 0.00 1.56 4716.32 73.66 1 in 212
New Brunswick 2052 7 0.34 41 0 0.00 2.00 2630.79 52.56 1 in 380
Newfoundland and Labrador 1184 5 0.42 6 0 0.00 0.51 2270.96 11.51 1 in 440
Nunavut 623 5 0.81 4 0 0.00 0.64 NA NA 1 in NA
Prince Edward Island 187 0 0.00 0 0 NaN 0.00 1182.36 0.00 1 in 846
Northwest Territories 121 0 0.00 0 0 NaN 0.00 2694.64 0.00 1 in 371
Yukon 84 0 0.00 2 0 0.00 2.38 2044.89 48.69 1 in 489
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 100623.42 1790.06 1 in 10
India 18434.71 201.86 1 in 54
Brazil 74469.82 2076.99 1 in 13
France 88447.10 1607.64 1 in 11
Turkey 63195.92 551.13 1 in 16
Russia 33739.16 785.75 1 in 30
United Kingdom 67198.42 1925.60 1 in 15
Italy 68673.51 2051.31 1 in 15
Spain 77256.73 1700.36 1 in 13
Germany 43433.65 1039.98 1 in 23
Argentina 74337.81 1586.92 1 in 13
Colombia 63242.98 1646.22 1 in 16
Poland 75089.81 1885.44 1 in 13
Iran 33758.93 944.22 1 in 30
Mexico 18426.39 1705.76 1 in 54
Ukraine NA NA 1 in NA
Peru 58409.98 2039.42 1 in 17
Indonesia 6578.30 181.69 1 in 152
Czechia 155139.72 2806.20 1 in 6
Netherlands 94336.55 1030.44 1 in 11

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 1237273 24101 1.95
Cook Illinois 546360 10136 1.86
Maricopa Arizona 544255 9950 1.83
Miami-Dade Florida 494374 6302 1.27
Harris Texas 396446 6330 1.60
Dallas Texas 301511 4034 1.34
Riverside California 299793 4594 1.53
San Bernardino California 297165 4721 1.59
San Diego California 278990 3737 1.34
Kings New York 277183 10311 3.72
Queens New York 274033 9845 3.59
Orange California 271194 5030 1.85
Tarrant Texas 259095 3467 1.34
Clark Nevada 248336 4358 1.75
Broward Florida 241765 3011 1.25
Bexar Texas 220617 3534 1.60
Suffolk New York 199411 3379 1.69
Nassau New York 182253 3161 1.73
Bronx New York 181231 6529 3.60
Wayne Michigan 161531 4871 3.02
Philadelphia Pennsylvania 150796 3555 2.36
Salt Lake Utah 149710 872 0.58
Palm Beach Florida 146538 2816 1.92
Orange Florida 140372 1283 0.91
Hillsborough Florida 139931 1762 1.26
New York New York 136828 4447 3.25
El Paso Texas 135317 2685 1.98
Middlesex Massachusetts 134047 3739 2.79
Westchester New York 128835 2266 1.76
Franklin Ohio 126634 1406 1.11
Hennepin Minnesota 122817 1731 1.41
Santa Clara California 119006 2096 1.76
Milwaukee Wisconsin 116373 1368 1.18
Oakland Michigan 116183 2305 1.98
Pima Arizona 115916 2407 2.08
Cuyahoga Ohio 113090 2134 1.89
Mecklenburg North Carolina 112120 952 0.85
Kern California 109272 1376 1.26
King Washington 107147 1540 1.44
Sacramento California 104958 1691 1.61
Bergen New Jersey 103703 2854 2.75
Fresno California 101917 1688 1.66
Gwinnett Georgia 101819 1159 1.14
Marion Indiana 100526 1750 1.74
Allegheny Pennsylvania 100039 1940 1.94
Fairfield Connecticut 99495 2176 2.19
Duval Florida 99277 1444 1.45
St. Louis Missouri 99100 2210 2.23
Macomb Michigan 98195 2365 2.41
Fulton Georgia 97713 1390 1.42
Providence Rhode Island 97640 1971 2.02
Essex Massachusetts 96828 2368 2.45
Shelby Tennessee 96452 1629 1.69
Utah Utah 96248 386 0.40
Essex New Jersey 93561 2952 3.16
Suffolk Massachusetts 92137 1830 1.99
Middlesex New Jersey 91608 2336 2.55
New Haven Connecticut 91189 2096 2.30
Collin Texas 90880 831 0.91
DuPage Illinois 90731 1283 1.41
Hidalgo Texas 90142 2850 3.16
Davidson Tennessee 89674 942 1.05
Erie New York 88350 1776 2.01
Alameda California 88027 1667 1.89
Wake North Carolina 87676 723 0.82
Hudson New Jersey 87591 2250 2.57
Oklahoma Oklahoma 86774 1213 1.40
Prince George’s Maryland 84353 1488 1.76
Hartford Connecticut 83323 2411 2.89
Travis Texas 83261 1015 1.22
Ventura California 81033 1016 1.25
Jefferson Kentucky 80872 1194 1.48
Pinellas Florida 80459 1639 2.04
Hamilton Ohio 80374 1211 1.51
Jefferson Alabama 79827 1529 1.92
Cobb Georgia 78825 1058 1.34
Fairfax Virginia 76640 1080 1.41
Worcester Massachusetts 76552 2207 2.88
Will Illinois 75665 991 1.31
Denton Texas 75364 758 1.01
Ocean New Jersey 75358 2135 2.83
Monmouth New Jersey 75010 1610 2.15
Tulsa Oklahoma 74684 1054 1.41
Greenville South Carolina 74593 1009 1.35
Richmond New York 73971 1809 2.45
San Joaquin California 73310 1394 1.90
Passaic New Jersey 72335 1901 2.63
Denver Colorado 72279 816 1.13
Lee Florida 72043 986 1.37
Douglas Nebraska 71474 710 0.99
Kent Michigan 71191 813 1.14
Union New Jersey 71036 1949 2.74
Montgomery Maryland 70466 1534 2.18
Polk Florida 69778 1343 1.92
Montgomery Pennsylvania 69442 1691 2.44
Contra Costa California 68942 806 1.17
Fort Bend Texas 68028 671 0.99
El Paso Colorado 67582 817 1.21
Lake Illinois 67328 990 1.47
Monroe New York 66700 1074 1.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc